The ‘ Artificial Intelligence (AI) in Drug Discovery market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview; Artificial Intelligence (AI) in Drug Discovery derived key statistics, based on the market status of the manufacturers and is a valuable source of guidance and direction for companies and individuals interested in Artificial Intelligence (AI) in Drug Discovery market size forecast, Get report to understand the structure of the complete fine points (Including Full TOC, List of Tables & Figures, Chart).
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A combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021
covid-19 scenario | Market Behavior/ Level of Risk and Opportunity | End Industry Behavior/ Opportunity Assessment | Expected Industry Recovery Timeline | Business Impact Horizon |
Opening of Economy by Q3 2020 | xx | xx | xx | xx |
Recovery – Opening of Economy extended till Q4 2020 / Q1 2021 | xx | xx | xx | xx |
Global Artificial Intelligence (AI) in Drug Discovery Market is valued approximately at USD 260 million in 2019 and is anticipated to grow with a healthy growth rate of more than 40.7% over the forecast period 2019-2026. Artificial intelligence for drug discovery is a technology that uses distinct algorithms which add value in decision-making processes for drug discovery. The implementation of AI reduces the gap of researches and development in the drug manufacturing process and also help in the targeted of manufacturing of the drugs. For this reason, the biopharmaceutical industries are increasingly adopting AI technology to optimize the drug manufacturing process. Further, rising investment & funding in drug discovery, along with the surging need to control drug discovery & development costs and reduce time are the few factors responsible for high CAGR of the market over the forecast period. For instance, as per India Brand Equity Foundation, 2018, the Indian Government is planning a $640 million fund for boosting the drug discovery and pharmaceutical infrastructure. The initiative ‘Pharma Vision 2020′ of Indian Government has a goal for making India a major hub for drug discovery. This, in turn, is expected to accelerate the demand of artificial intelligence (AI) in drug discovery across the world. However, lack of awareness and high cost & technical limitation of AI decision-making are some major forces expected to impede the growth of global Artificial Intelligence (AI) in Drug Discovery market over the forecast period of 2020-2026.
The regional analysis of global Artificial Intelligence (AI) in Drug Discovery Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the rising focus on R&D & substantial investment, along with the high awareness of the AI in drug discovery among key players located in the region. However, Asia-Pacific is anticipated to exhibit highest growth rate / CAGR over the forecast period, due to constant technological advancements in the pharmaceutical sector and increasing number of pharmaceutical manufacturers in developing countries such as China and India.
Major market player included in this report are:
Microsoft Corporation
NVIDIA Corporation
IBM Corporation
Google Inc.
Atomwise, Inc.
Deep Genomics
Cloud Pharmaceuticals, Inc.
Insilico Medicine
Benevolentai
Exscientia
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Software
Services
By Technology:
Machine Learning
Deep Learning
Others
By Application:
Immuno-Oncology
Neurodegenerative Diseases
Cardiovascular Diseases
Others
By End-User:
Pharmaceutical & Biotechnology Companies
Contract Research Organizations
Research Centers
Academic & Government Institutes
Target Audience of the Global Artificial Intelligence (AI) in Drug Discovery Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
A systematic step framework for How to Tackle The Situation… “MITIGATE” | “SUSTAIN” | “GROW”: Business Strategy Recovery, Scenario and Planning
Key Segments Studied in the Global Artificial Intelligence (AI) in Drug Discovery Market
Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan
In-Depth Qualitative Analyses Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.
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Changing Forecasts in a Time of Crisis: explores key issues, including:
Key questions answered: Study Explore COVID 19 Outbreak Impact Analysis
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Key Points Covered in Artificial Intelligence (AI) in Drug Discovery Market Report: COVID 19 Impact Analysis
TABLE OF CONTENTS
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2018-2026 (USD Million)
1.2.1. Artificial Intelligence (AI) in Drug Discovery Market, by Component, 2018-2026 (USD Million)
1.2.2. Artificial Intelligence (AI) in Drug Discovery Market, by Technology, 2018-2026 (USD Million)
1.2.3. Artificial Intelligence (AI) in Drug Discovery Market, by Application, 2018-2026 (USD Million)
1.2.4. Artificial Intelligence (AI) in Drug Discovery Market, by End-User, 2018-2026 (USD Million)
1.2.5. Artificial Intelligence (AI) in Drug Discovery Market, by Region, 2018-2026 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Artificial Intelligence (AI) in Drug Discovery Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Artificial Intelligence (AI) in Drug Discovery Market Dynamics
3.1. Artificial Intelligence (AI) in Drug Discovery Market Impact Analysis (2018-2026)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global Artificial Intelligence (AI) in Drug Discovery Market Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2016-2026)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Artificial Intelligence (AI) in Drug Discovery Market, by Component
5.1. Market Snapshot
5.2. Global Artificial Intelligence (AI) in Drug Discovery Market by Component, Performance – Potential Analysis
5.3. Global Artificial Intelligence (AI) in Drug Discovery Market Estimates & Forecasts by Component 2016-2026 (USD Million)
5.4. Artificial Intelligence (AI) in Drug Discovery Market, Sub Segment Analysis
5.4.1. Software
5.4.2. Services
Chapter 6. Global Artificial Intelligence (AI) in Drug Discovery Market, by Technology
6.1. Market Snapshot
6.2. Global Artificial Intelligence (AI) in Drug Discovery Market by Technology, Performance – Potential Analysis
6.3. Global Artificial Intelligence (AI) in Drug Discovery Market Estimates & Forecasts by Technology 2016-2026 (USD Million)
6.4. Artificial Intelligence (AI) in Drug Discovery Market, Sub Segment Analysis
6.4.1. Machine Learning
6.4.2. Deep Learning
6.4.3. Others
Chapter 7. Global Artificial Intelligence (AI) in Drug Discovery Market, by Application
7.1. Market Snapshot
7.2. Global Artificial Intelligence (AI) in Drug Discovery Market by Application, Performance – Potential Analysis
7.3. Global Artificial Intelligence (AI) in Drug Discovery Market Estimates & Forecasts by Application 2016-2026 (USD Million)
7.4. Artificial Intelligence (AI) in Drug Discovery Market, Sub Segment Analysis
7.4.1. Immuno-Oncology
7.4.2. Neurodegenerative Diseases
7.4.3. Cardiovascular Diseases
7.4.4. Others
Chapter 8. Global Artificial Intelligence (AI) in Drug Discovery Market, by End-User
8.1. Market Snapshot
8.2. Global Artificial Intelligence (AI) in Drug Discovery Market by End-User, Performance – Potential Analysis
8.3. Global Artificial Intelligence (AI) in Drug Discovery Market Estimates & Forecasts by End-User 2016-2026 (USD Million)
8.4. Artificial Intelligence (AI) in Drug Discovery Market, Sub Segment Analysis
8.4.1. Pharmaceutical & Biotechnology Companies
8.4.2. Contract Research Organizations
8.4.3. Research Centers
8.4.4. Academic & Government Institutes
Chapter 9. Global Artificial Intelligence (AI) in Drug Discovery Market, Regional Analysis
9.1. Artificial Intelligence (AI) in Drug Discovery Market, Regional Market Snapshot
9.2. North America Artificial Intelligence (AI) in Drug Discovery Market
9.2.1. U.S. Artificial Intelligence (AI) in Drug Discovery Market
9.2.1.1. Component breakdown estimates & forecasts, 2016-2026
9.2.1.2. Technology breakdown estimates & forecasts, 2016-2026
9.2.1.3. Application breakdown estimates & forecasts, 2016-2026
9.2.1.4. End-User breakdown estimates & forecasts, 2016-2026
9.2.2. Canada Artificial Intelligence (AI) in Drug Discovery Market
9.3. Europe Artificial Intelligence (AI) in Drug Discovery Market Snapshot
9.3.1. U.K. Artificial Intelligence (AI) in Drug Discovery Market
9.3.2. Germany Artificial Intelligence (AI) in Drug Discovery Market
9.3.3. Rest of Europe Artificial Intelligence (AI) in Drug Discovery Market
9.4. Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Snapshot
9.4.1. China Artificial Intelligence (AI) in Drug Discovery Market
9.4.2. India Artificial Intelligence (AI) in Drug Discovery Market
9.4.3. Japan Artificial Intelligence (AI) in Drug Discovery Market
9.4.4. Rest of Asia Pacific Artificial Intelligence (AI) in Drug Discovery Market
9.5. Latin America Artificial Intelligence (AI) in Drug Discovery Market Snapshot
9.5.1. Brazil Artificial Intelligence (AI) in Drug Discovery Market
9.5.2. Mexico Artificial Intelligence (AI) in Drug Discovery Market
9.6. Rest of The World Artificial Intelligence (AI) in Drug Discovery Market
Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Microsoft Corporation
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Component Summary
10.2.1.5. Recent Developments
10.2.2. NVIDIA Corporation
10.2.3. IBM Corporation
10.2.4. Google Inc.
10.2.5. Atomwise, Inc.
10.2.6. Deep Genomics
10.2.7. Cloud Pharmaceuticals, Inc.
10.2.8. Insilico Medicine
10.2.9. Benevolentai
10.2.10. Exscientia
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption
Continued….
……..and view more in complete table of Contents
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